Key objectives and principles for building predictive models on big data

Key objectives and principles for building predictive models on big data

Thursday, June 21
11:30 AM - 12:10 PM
Executive Ballroom 210D/H

Business analysts spend a lot of time today looking at what happened in the past. But what about trying to grasp what will happen in the future? For example, what if you are given 10% more budget for next quarter’s marketing spend? Do you know how you’ll use that extra money, and do you know what impact it will create? Or, suppose you want an increase in your budget, but need to show what you expect that increase to do, then what?

Many of today’s data applications are simply “decision support systems” designed to be useful in the aforementioned scenarios. They help business professionals use data to better understand their environment and to make better decisions. But with larger volumes of data and increased ambitions of competitive businesses, the end goals become tougher to achieve. As the VP of Engineering for MarketShare DecisionCloud at Neustar, which provides planning and analytics capabilities for marketers, Satya Ramachandran has taken on these challenges by leveraging big data technologies.

In this talk, Satya will talk about some of the high expectations he’s faced at MarketShare and also some of his successes. For example, despite the fact that data has grown significantly in recent years, business users still want faster results. This phenomenon led to efforts that supported orders of magnitude more data within his organization and also demanded orders of magnitude speed improvements –going from several minutes to sub-second responses. Satya will share some guiding principles that helped him successfully develop and deploy systems that his customers needed to be successful within their big data projects.


Satya Ramachandran
VP Engineering
Neustar Inc
Satya N Ramachandran is the vice president of engineering at Neustar, a provider of real-time, cloud-based information services. He has more than 20 years of experience in distributed computing and large scale analytics. Prior to Neustar, Satya led engineering at MarketShare and co-founded JovianDATA a large scale analytics platform built entirely on the cloud. He has held senior engineering roles in teams that built real-time and distributed analytics engines at Cognos, 3ParData and Sybase. Satya holds a Master’s in Computer Science from the Indian Institute of Science, with emphasis in databases and compilers. Satya holds several patents in distributed computing and has been a presenter at several conferences.